Inizio Partners · 10 hours ago
Engagement Manager, Analytics (MFG)
Inizio Partners is seeking an Engagement Manager for their Analytics team. The role involves developing and executing analytics strategies, managing a team of analysts, and engaging with business stakeholders to drive data-driven decision-making.
Responsibilities
Develop and execute the analytics strategy aligning with the organizations overall goals and objectives
Manage a team of Product Analysts and Data & BI Engineers as a coach on their analytical work and career growth, helping them reach and realize their full potential
Engage with business stakeholders, understand business requirements & suggest best-of-the-breed data solutions
Translate business requirements from the stakeholders into equivalent analytics tasks
As a cross-functional influencer, utilize your expertise in data storytelling and actionable insights to drive decision-making and foster a data-driven culture within Product, Product Marketing, Engineering, and Design
Oversee the building of data-driven solutions through all phases of development lifecycle, from research, ideation and design through build, test, and implementation
Define and track key performance indicators (KPIs) for product initiatives, and communicate findings to both operational and senior leadership stakeholders
Develop new analytical frameworks, data science techniques and predictive analytics to dive deeper into product performance & customer journeys
Qualification
Required
Bachelors degree in engineering: Data Science, Computer Science, Statistics, Business Analytics, or related field; Masters degree preferred but not required
6+ years' professional experience working in Manufacturing Analytics space
Manufacturing domain depth as well as core and adjacent processes (production, quality, maintenance, procurement, logistics, planning)
Proven experience delivering manufacturing analytics solutions, including predictive / prescriptive use cases (not just BI or reporting)
3+ years of people leadership or informal mentorship of analytical teams
Strong analytics focus on product, growth, project management
Sound knowledge of applied statistics, experimental design, data science techniques
Good SQL knowledge and experience, authoring queries working with variety of data platforms, and business intelligence systems / visualization tools (e.g., PowerBI/ Tableau)
Experience with cloud-based technologies like Azure and Databricks
Excellent communication skills, including the ability to clearly and effectively communicate and present analysis findings to stakeholders at all levels. Must be adept at translating analysis into cohesive, concise insights
Strong organizational skills and the ability to effectively priority
Consulting leadership credentials: running delivery reviews, leading multi‑stakeholder programs, and driving outcomes
Preferred
Masters degree